Summary

We are looking for an intern to assist in building intelligent, automated infrastructure across cloud, network and enduser computing (EUC). The intern will be working with experienced IT engineers to use AI, automation and observability to improve reliability, user experience and endtoend fulfilment for IT services.

Responsibilities

Job Description

AIDriven Automation & Tooling

Optimizing Cloud operations on GCP, service visualization using Grafana
Detect anomalies in performance and securityrelevant metrics and logs using AI
Design and prototype scripts, bots or workflows to automate remediation

Reliability, Security & Observability

Help build and improve dashboards, alerts and health checks for network and EUC services
Contribute to defining and tracking Service Level Indicator (SLIs)/ Service Level Objective (SLOs), including service availability, latency, change/fulfilment times, securityrelated indicators (e.g. patch compliance, endpoint health, failed logins, basic vulnerability/Ticket ageing)

User Experience, Security & Fulfilment Lead Time

Analyze endtoend workflows for cloud resources (including secure baselines and access controls), Network changes (including firewall/DNS), End User Computing (EUC) requests (e.g. laptops, software, MDM, VPN & etc.)
Identify bottlenecks and propose automation or process improvements to shorten fulfilment lead times while maintaining service quality

Requirements

Familiarity with cloud fundamentals (IaaS, PaaS, containers) and basic networking concepts.
Experience with at least one programming/scripting language (e.g. Python, Java, or Shell).
Exposure to cloud platforms (GCP or Azure) – even via school projects.
Basic understanding of monitoring/observability tools (e.g. Prometheus, Grafana, CloudWatch, Loki etc.).
Interest in Site Reliability Engineering (SRE) / DevOps / Platform Engineering and AIassisted automation.
Strong analytical skills and a systematic approach to troubleshooting.

Intern, IT (Cloud & Platform)